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» Handling variations and uncertainties
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ICML
2006
IEEE
14 years 9 months ago
Pareto optimal linear classification
We consider the problem of choosing a linear classifier that minimizes misclassification probabilities in two-class classification, which is a bi-criterion problem, involving a tr...
Seung-Jean Kim, Alessandro Magnani, Sikandar Samar...
ICTIR
2009
Springer
14 years 3 months ago
Robust Word Similarity Estimation Using Perturbation Kernels
We introduce perturbation kernels, a new class of similarity measure for information retrieval that casts word similarity in terms of multi-task learning. Perturbation kernels mode...
Kevyn Collins-Thompson
ICIP
2008
IEEE
14 years 3 months ago
Matching tracking sequences across widely separated cameras
In this paper, we present a new solution to the problem of matching tracking sequences across different cameras. Unlike snapshot-based appearance matching which matches objects by...
Yinghao Cai, Kaiqi Huang, Tieniu Tan
CP
2007
Springer
14 years 2 months ago
Boosting Probabilistic Choice Operators
Probabilistic Choice Operators (PCOs) are convenient tools to model uncertainty in CP. They are useful to implement randomized algorithms and stochastic processes in the concurrent...
Matthieu Petit, Arnaud Gotlieb
WSC
2004
13 years 10 months ago
Modeling and Simulation of Consumer Credit Originations Processes
Staffing decisions in a consumer credit origination environment have a significant impact on the financial institution's costs as well as customer service levels. Staff resou...
Hung-Nan Chen, Jihong Jin, Geetha Rajavelu, Charle...